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Fan L, Fu X, Hu M, Yan Y, Zuo Z, Han Z, Fang J, Xiao B. Calculation method of spherically expanding flame propagation radius to consider ignition electrode effects. Sci Rep 2024; 14:8435. [PMID: 38600253 PMCID: PMC11006940 DOI: 10.1038/s41598-024-58940-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 04/04/2024] [Indexed: 04/12/2024] Open
Abstract
Ignition electrodes have an immense impact on the accurate measurement of the flame propagation spherical radius. In this study, a flame-radius calculation method is designed. The method is able to eliminate effects due to the ignition electrodes. The adaptability and optimization effects of the proposed method are analyzed. The results show that the ratio of the angle is affected by the ignition electrodes under the Han II method. There are three obvious divisions include a high-value area, a sharp-variation area, and a mild-variation area. The ratio of the angle affected by the ignition electrodes is only applicable to the mild-variation region when the flame presents respective convex and concave distributions. For these distributions, the increment rate of the mean radius is 0.4-0.85% and 0.42-3.19%. The reduced rate of the standard deviation of the radius extraction value is 11.91-22.1% and 5.13-17.99%, and the reduced rate of the radius extraction value range is 20.32-39.51% and 0.32-8.09%.
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Affiliation(s)
- Likang Fan
- Key Laboratory of Fluid and Power Machinery of Ministry of Education, Xihua University, Chengdu, 610039, China
- Key Laboratory of Vehicle Measurement, Control and Safety of Sichuan Province, Xihua University, Chengdu, 610039, China
| | - Xin Fu
- Key Laboratory of Vehicle Measurement, Control and Safety of Sichuan Province, Xihua University, Chengdu, 610039, China
| | - Mingjie Hu
- Key Laboratory of Vehicle Measurement, Control and Safety of Sichuan Province, Xihua University, Chengdu, 610039, China
| | - Yan Yan
- Key Laboratory of Fluid and Power Machinery of Ministry of Education, Xihua University, Chengdu, 610039, China
- Key Laboratory of Vehicle Measurement, Control and Safety of Sichuan Province, Xihua University, Chengdu, 610039, China
| | - Zinong Zuo
- Key Laboratory of Fluid and Power Machinery of Ministry of Education, Xihua University, Chengdu, 610039, China
- Key Laboratory of Vehicle Measurement, Control and Safety of Sichuan Province, Xihua University, Chengdu, 610039, China
| | - Zhiqiang Han
- Key Laboratory of Fluid and Power Machinery of Ministry of Education, Xihua University, Chengdu, 610039, China.
- Key Laboratory of Vehicle Measurement, Control and Safety of Sichuan Province, Xihua University, Chengdu, 610039, China.
- Engineering Research Center of Ministry of Education for Intelligent Air-Ground Fusion Vehicles and Control, Xihua University, Chengdu, 610039, China.
| | - Jia Fang
- Key Laboratory of Fluid and Power Machinery of Ministry of Education, Xihua University, Chengdu, 610039, China
- Key Laboratory of Vehicle Measurement, Control and Safety of Sichuan Province, Xihua University, Chengdu, 610039, China
| | - Bang Xiao
- Key Laboratory of Vehicle Measurement, Control and Safety of Sichuan Province, Xihua University, Chengdu, 610039, China
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Yang Y, Xiao C, Wang F, Peng L, Zeng Q, Luo S. Assessment of the potential for phytoremediation of cadmium polluted soils by various crop rotation patterns based on the annual input and output fluxes. J Hazard Mater 2022; 423:127183. [PMID: 34536851 DOI: 10.1016/j.jhazmat.2021.127183] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 09/05/2021] [Accepted: 09/06/2021] [Indexed: 06/13/2023]
Abstract
Phytoremediation potential of two oil crop rotations (oilseed sunflower-rape (O+Ra) and peanut-oilseed rape (P+Ra)) was compared with three conventional cropping patterns (rice-rape (R+Ra), rice-rice (R+R), single cropped rice (SR)) in experimental plots with cadmium (Cd)-contaminated soil. A new approach was used to evaluate phytoremediation potential based on the balance between annual input and output fluxes of Cd in farmland soil. In O+Ra and P+Ra rotations, 77.24 and 62.09 g/ha Cd were removed, respectively, whereas in R+Ra, R+R, and SR patterns, 41.79, 46.46, and 23.85 g/ha Cd were removed, respectively. The balance between inputs and outputs of Cd was - 40.72 and - 25.76 g/ha under O+Ra and P+Ra rotations, respectively. Available Cd content in topsoil was reduced by 5.58% and 3.91% under O+Ra and P+Ra rotations, respectively. Based on the balance between Cd inputs and outputs, phytoremediation efficiencies of O+Ra (1.23%) and P+Ra (0.78%) rotations were higher than those of R+R (0.29%), R+Ra (0.13%), and SR (-0.38%) systems. Because crop removal is the main Cd output pathway, selection of a suitable crop is particularly important in remediation of Cd-contaminated farmland.
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Affiliation(s)
- Yihao Yang
- College of Resources and Environment, Hunan Agricultural University, Changsha 410128, Hunan, China
| | - Chenfeng Xiao
- College of Resources and Environment, Hunan Agricultural University, Changsha 410128, Hunan, China
| | - Fan Wang
- College of Resources and Environment, Hunan Agricultural University, Changsha 410128, Hunan, China
| | - Liang Peng
- College of Resources and Environment, Hunan Agricultural University, Changsha 410128, Hunan, China
| | - Qingru Zeng
- College of Resources and Environment, Hunan Agricultural University, Changsha 410128, Hunan, China.
| | - Si Luo
- College of Resources and Environment, Hunan Agricultural University, Changsha 410128, Hunan, China.
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Wu M, Li Y, Xiao J, Guo X, Cao X. Blue, green, and grey water footprints assessment for paddy irrigation-drainage system. J Environ Manage 2022; 302:114116. [PMID: 34794049 DOI: 10.1016/j.jenvman.2021.114116] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/13/2021] [Accepted: 11/13/2021] [Indexed: 06/13/2023]
Abstract
Water footprint (WF) quantifies the impact of paddy field evapotranspiration (ET) and non-point source pollution on water resources and is an evaluation index for water sustainability. However, it is difficult to measure accurately using the existing method, which is based on parameter assumption without considering the field water conditions. In this study, a generic and physically based method for blue, green, and grey water accounting in paddy rice cultivation is introduced. We conducted field experiments using the common flood irrigation (CFI) and water-saving irrigation (SWI) modes in Nanjing, East China. By tracing the sources of ET and the migration process of multiple pollutants (TN, TP, NH4+-N, and NO3--N), the characteristics of blue-green water consumption and the actual amount of water required to dilute pollutants at different growth stages of rice under CFI and SWI were analyzed. The WF of paddy rice was 1000 m3/t (49% WFgreen, 17% WFblue, 34% WFgrey) and 910 m3/t (50% WFgreen, 10% WFblue, 40% WFgrey) for CFI and SWI, respectively. The WF for paddy rice production was reduced by approximately 9% under SWI compared to CFI, with declines of 47% for WFblue and 8% for WFgreen. The SWI mode changed the ratio of blue to green water fluxes in field water by reducing irrigation during non-critical periods, and green water was used preferentially to enhance its utility. This conceptual method is the first to describe the formation mechanism of blue, green, and grey WFs in paddy systems. It can be extended to different scales and agro-ecosystems that show the influence of crop cultivation on water resources.
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Affiliation(s)
- Mengyang Wu
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, China; Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment, Ministry of Education, Hohai University, Nanjing, 210098, China
| | - Yueyao Li
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, China; Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment, Ministry of Education, Hohai University, Nanjing, 210098, China
| | - Jianfeng Xiao
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, China
| | - Xiangping Guo
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, China; Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment, Ministry of Education, Hohai University, Nanjing, 210098, China
| | - Xinchun Cao
- College of Agricultural Science and Engineering, Hohai University, Nanjing, 210098, China; Key Laboratory of Efficient Irrigation-Drainage and Agricultural Soil-Water Environment, Ministry of Education, Hohai University, Nanjing, 210098, China.
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Kuklane K, Toma R. Common clothing area factor estimation equations are inaccurate for highly insulating (I cl>2 clo) and non-western loose-fitting clothing ensembles. Ind Health 2021; 59:107-116. [PMID: 33361651 PMCID: PMC8010161 DOI: 10.2486/indhealth.2020-0209] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/16/2020] [Indexed: 06/11/2023]
Abstract
The aim of this study was to evaluate the equations for calculating the clothing area factor (fcl) used in the standards based on data sets of clothing ensembles, that are meant to provide thermal comfort over a wide range of climatic conditions from hot summer days to extremely cold winter. Over 10 equations for fcl calculations were selected from the international standards and the literature. At first a theoretical comparison based on a range of insulation values was performed. Then the data sets were used to compare the equations and measurements on real clothing systems. Most of the fcl calculation equations do give reasonably good results for western type and industrial clothing with basic insulation (Icl) up to 1.5 clo. Above the Icl of 2 clo, the error in the calculations based on traditional equations increases considerably and they overestimate fcl. Some new equations were suggested for modern clothing systems. Oppositely, for non-western clothing (for hot climate), the available equations did give good match only for very light clothing sets and commonly underestimated the real fcl. For such sets and and fashion clothes their own equations maybe needed, that count for various design aspects, e.g. fit, draping etc.
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Affiliation(s)
- Kalev Kuklane
- Institute for Safety (IFV), The Netherlands
- Department of Design Sciences, Division of Ergonomics and Aerosol Technology, Lund University, Sweden
| | - Róbert Toma
- Energy Institute, Brno University of Technology, Czech Republic
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Wang Q, Li L, Zhang Y, Cui Q, Fu Y, Shi W, Wang Q, Xu D. Research on the Establishment and Application of the Environmental Health Indicator System of Atmospheric Pollution in China. Bull Environ Contam Toxicol 2021; 106:225-234. [PMID: 33462648 DOI: 10.1007/s00128-020-03084-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 12/14/2020] [Indexed: 06/12/2023]
Abstract
To understand the health impact represented by exposure to current atmospheric pollution in China, an environmental health indicators (EHIs) system of atmospheric pollution was established. The EHIs were based on comprehensive consideration of environment, population, economy and diseases associated with atmospheric pollution. An EHIs evaluation system of atmospheric pollution, based on corresponding EHIs data collection and weighting coefficients determined using principal component analysis, was applied to major provinces and regions in China to evaluate the environmental health status. Results showed that the EHIs of atmospheric pollution in Central and East China were low, indicating a serious environmental health condition. Prevention and management of atmospheric pollution in these regions should be strengthened and protective measures taken to improve human health. Compared with other methods, the EHIs evaluation system was more intuitive, which facilitated users to identify the environmental health status and provided support for health management and pollution prevention.
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Affiliation(s)
- Qiong Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Liangzhong Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, Center for Environmental Health Research, South China Institute of Environmental Sciences, The Ministry of Ecological and Environment of PR China, Guangzhou, 510655, China
| | - Yanping Zhang
- Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Qian Cui
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
- School of Ecology and Environment, Inner Mongolia University, Hohhot, 010021, China
| | - Yuanzheng Fu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
- Department of Toxicology, School of Public Health, China Medical University, Shenyang, 110122, China
| | - Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Qin Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Dongqun Xu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China.
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Wu YY, Zhao Y, Wu XL, Chen XL, Wang TQ, Hu DS, Zhang M. [ Calculation Method of Incubation Period of Infectious Diseases and Its Epidemiological Significance]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:1026-1030. [PMID: 32907296 DOI: 10.3760/cma.j.cn112150-20200629-00943] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Based on the practical application, this paper introduced the basic calculation conditions, methods and epidemiological significance of incubation period. The real data were used for calculations of the incubation period by lognormal, gamma, Weibull and Erlang distribution methods. Both of the complete and incomplete observation data were demonstrated.
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Affiliation(s)
- Y Y Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen 518055, China
| | - Y Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - X L Wu
- Infectious Disease Control and Prevention Institute of Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - X L Chen
- Shenzhen Key Epidemiology Discipline of Guangming District Center for Disease Control and Prevention, Shenzhen 518100, China
| | - T Q Wang
- Shenzhen Key Epidemiology Discipline of Guangming District Center for Disease Control and Prevention, Shenzhen 518100, China
| | - D S Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen 518055, China
| | - M Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen 518055, China
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Guo R, Chen JY, Zhang G, Zhou Y, Chen J, Chai W. Calculation method to predict postoperative limb length in patients undergoing THA following developmental dysplasia of hips. BMC Musculoskelet Disord 2019; 20:513. [PMID: 31679510 PMCID: PMC6827358 DOI: 10.1186/s12891-019-2903-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 10/18/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Limb length discrepancy (LLD) is one of the main cause of dissatisfaction after total hip arthroplasty (THA). The teardrop-lesser trochanter method can accurately predict and analyze LLD for healthy people. However, for patients with preoperative LLD, no method for predicting postoperative LLD is currently available, and these patients are highly susceptible to more severe LLD after THA. Accordingly, this study proposed a calculation method to predict postoperative limb length for these patients. METHODS Eighty patients who underwent THA between May 2016 and October 2018 due to unilateral developmental dysplasia of the hip (DDH) were evaluated. Relevant parameters were measured from radiographs of full-length lower limbs, e.g. the distance between the rotation center of the hip and the midpoint of the tibial plafond and the distance between the point which was marked at the same height as the lesser trochanter on the anatomical long axis of the femur and the midpoint of the tibial plafond. Then, a mathematical model was established by simplifying the structure from the hip to the ankle. The relationship between the placement position of the prosthesis and the LLD value was calculated by Law of Sines and Iterative Calculation. RESULTS The preoperatively predicted LLD values and the postoperatively measured LLD values were compared, yielding a mean absolute difference of 3.7 (range, 0.1 to 8.6) mm. The intraclass correlation coefficient (ICC) of the two parameters exhibited strong reliability (ICC = 0.911, 95%CI, 0.795 to 0.955). The Bland-Altman plot also showed good conformity between the two parameters. CONCLUSIONS The proposed calculation method effectively predicted the postoperative LLD using preoperative parameters. Despite the complexity of the method, it can go a long way towards reducing the occurrence of severe postoperative LLD in DDH-THA.
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Affiliation(s)
- Renwen Guo
- Department of Orthopaedic Surgery, Chinese People's Liberation Army General Hospital, 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - Jerry Yongqiang Chen
- Department of Orthopaedic Surgery, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore
| | - Guoqiang Zhang
- Department of Orthopaedic Surgery, Chinese People's Liberation Army General Hospital, 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - Yonggang Zhou
- Department of Orthopaedic Surgery, Chinese People's Liberation Army General Hospital, 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - Jiying Chen
- Department of Orthopaedic Surgery, Chinese People's Liberation Army General Hospital, 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - Wei Chai
- Department of Orthopaedic Surgery, Chinese People's Liberation Army General Hospital, 28 Fuxing Road, Beijing, 100853, People's Republic of China.
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Chen G, Yang S, Lv C, Zhong J, Wang Z, Zhang Z, Fang X, Li S, Yang W, Xue L. An improved method for estimating GHG emissions from onshore oil and gas exploration and development in China. Sci Total Environ 2017; 574:707-715. [PMID: 27664757 DOI: 10.1016/j.scitotenv.2016.09.051] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Revised: 09/06/2016] [Accepted: 09/06/2016] [Indexed: 06/06/2023]
Abstract
Greenhouse gas (GHG) emissions from oil and gas exploration and development are major contributors to emission inventories in oil and natural gas (ONG) systems. For the developing countries, including China, studies of this aspect of the industry, being at an early stage, lack a unified method of calculation, and this leads to varied projections of national emissions. In this paper, progress is reported on direct measurement of CH4 and CO2 emissions along the oil and gas value chain, for four oil and gas fields. An improved calculation method (classification calculation method), which considers the production status of each type of oil and gas field in China, is proposed for the first time in this study. Based on in situ measurement, it is used to estimate the national CH4 and CO2 emissions from the process of petroleum exploration and development. The results showed that CH4 and CO2 emissions in 2013 were 73.29×104 and 20.32×104tonnes, respectively (in CO2 equivalent: 1559.36×104tonnes). Compared with the results (731.52×104tonnes of CH4, 1031.55×104tonnes of CO2, 16,393.48×104tonnes of CO2 equivalent) in 2013 determined by the Tier 1 method of the Intergovernmental Panel on Climate Change (IPCC), the carbon emissions from field measurement method were much lower than that of IPCC method, which indicated that carbon emissions of ONG systems in China were severely overrated by IPCC. Hence, the GHG emission results reported herein could fundamentally improve the knowledge and understanding of GHG emissions from ONG exploration and development in China.
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Affiliation(s)
- Guojun Chen
- Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Shuang Yang
- Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Chengfu Lv
- Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China.
| | - Jiaai Zhong
- Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Zuodong Wang
- Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Zhongning Zhang
- Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Xuan Fang
- Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Shutong Li
- Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Wei Yang
- PetroChina Research Institute of Petroleum Exploration & Development-Northwest, Lanzhou 730020, China
| | - Lianhua Xue
- Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China
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